Adversaries assault consumers, organizations, and governments on a regular basis, resulting in data breaches. Furthermore, data breaches are on the rise as the backbones of commerce and vital infrastructure, as well as network interconnection, expand. Adversaries’ capabilities are growing, and the quantity and intensity of assaults are increasing, putting established security countermeasures at risk.
While much research focuses on technical, business, or compliance considerations, there is a growing demand for novel security solutions that go beyond standard ways to secure assistive technology. This course will focus on innovative security strategies that employ machine learning, data mining, and statistical analytical tools to address current security issues.
The workshop will cover the following topics, but not exclusively:
- Machine Learning for Security
- Malware Analysis
- Adverserial Machine learning
- Statistics for Security
- Analysis of identified vulnerabilities
- Analysis of successful attacks or attack attempts
- Diverse aspects of security analytics
- Tools for security analytics
- Security analytics data